Starting with confidence: why tracking people metrics early matters

In smaller companies, especially in early growth stages, people metrics often feel like a secondary concern. Teams are small, situations feel unique, and decisions happen fast based on proximity and gut feeling. There's a natural tendency to rely on conversations and memory rather than structured data.

From my experience working in growing organisations, this is precisely the stage where tracking a small and intentional set of metrics can make a meaningful difference.

Not to control. Not to predict. But to build context over time.

The honest reason to start early

When I first started thinking about this topic, my instinct was to write something like "five metrics every HR person should track”. But the more I thought about it, the less that framing felt right.

The truth is, which metrics matter depends a lot on where your pain points actually are. Measuring things just for the sake of it or because it's considered best practice elsewhere doesn't add much value. What matters more is starting to build a history, slowly and intentionally, so that when the company grows and complexity increases, you're not starting from zero.

That was my real motivation when I started tracking more consistently. I wasn't sure it would be immediately useful. But I knew it would matter later.

What people metrics are really for at this stage

When companies are small, metrics don't serve the same purpose they do in larger, more mature organisations. Sample sizes are small, and most data points still represent individual situations rather than trends.

In this context, people metrics serve three main purposes.

They help create continuity. Teams change, leaders change, perceptions shift. Metrics offer a consistent reference point that doesn't depend solely on who remembers what.

They allow organisations to spot repetition. What initially feels like an isolated case may start appearing again in slightly different forms. Tracking makes those patterns visible earlier.

And they support more grounded conversations. Instead of relying entirely on gut feeling, metrics add context, even when conclusions remain qualitative.

A starting point, not a complete framework

Rather than a definitive list, I think of these as a useful starting point. The metrics I'd suggest tracking from early on, before layering in anything more specific to your situation.

• Headcount evolution: entries and exits over time, by type of exit
• Early turnover: exits within the first months, as a signal of hiring and onboarding health
• Time to fill: not as a speed metric, but as an indicator of friction and process clarity
• Engagement surveys: run consistently, to build a baseline and track how perceptions evolve
• Quality of hire: outcomes from the first performance review, to close the loop between recruitment and performance

Each of these is covered in more detail below, including when they tend to matter most and how I've used them in practice.

Headcount: entries and exits

Tracking who joins, who leaves and when is the foundation of any people data. At a minimum, this means recording entries and exits over time, and whether the exit was voluntary or involuntary.

In small companies, exits often feel personal and unique – sometimes they are. But having a clear record over time allows organisations to reflect more calmly on growth, stability and pressure points. This metric doesn't provide answers on its own, but it creates the baseline for almost every other people-related conversation.

Early turnover as an early signal

While overall turnover is useful, early-stage companies benefit most from closely monitoring exits in the first months.

At Alts Digital, this was one of the first things I started paying close attention to. A few years ago, we had a high exit rate in the first six months, and consistently tracking it allowed us to understand it wasn't just a series of isolated cases. Early turnover often points to deeper issues: misaligned expectations, rushed hiring decisions, onboarding gaps or unclear role scope. Individually, these exits tend to get explained away. Tracked over time, they tell a clearer story.

Time to fill as a friction indicator

Time to fill is frequently treated as a speed metric. I've found it more useful to treat it as a friction indicator.

Long hiring processes usually reflect unclear role definitions, misalignment between stakeholders or expectations that haven't been fully acknowledged. Tracking it over time encourages reflection on where decisions slow down and why. Used this way, it becomes less about efficiency and more about process clarity.

Engagement surveys point your direction

Engagement data in small companies is rarely perfect. Sample sizes are small, and results are influenced by recent events and team dynamics.

Still, running engagement surveys consistently has value – not because they offer a complete picture, but because they establish a baseline, highlight recurring themes and validate or challenge leadership perceptions. The value lies less in individual scores and more in understanding how perceptions evolve over time. Even imperfect data can provide useful direction when interpreted with care.

Quality of hire as the process matures

This is a metric I introduced more recently, once we had moved past the early turnover challenge. The idea is simple: looking at the results of the first performance review to understand the quality of hiring decisions, whether expectations matched reality, whether roles were clearly defined and how consistently new hires perform across teams.

It helps close the loop between recruitment and performance, encouraging more intentional, shared accountability between HR and managers. It's not a metric that makes sense from day one, but it becomes increasingly relevant as the organisation stabilises.

Let your pain points guide you

These metrics don't all carry the same weight at every stage, and not all of them will be equally relevant to your situation. The ones I've focused on at Alts Digital reflect the specific challenges we faced at specific moments. Another company might need to prioritise differently.

What I'd suggest is starting with the basics, headcount and turnover, and then paying close attention to where friction or frustration keeps showing up. That's usually where the next metric worth tracking is hiding.

People metrics are tools, not goals. When used intentionally, even a small set can provide valuable insight, context and continuity. And when the time comes to build something more advanced, having that early history in place makes all the difference.

There's no universal list of must-have people metrics. Company size, maturity, growth pace and internal capacity all matter.